Tannavi Snehal
- Role
- Ai Engineer - Client Engineering at IBM
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Tannavi Snehal
AI Engineer with 5 years of experience building production-grade multi-agent systems, RAG…
Experience
Ai Engineer - Client Engineering
Apr 2025 — Present · Bengaluru, IN
Agentic AI in Supply Chain: Implemented a multi-agent AI system to automate six workflows—sales analysis, demand forecasting, inventory analysis, reorder optimization, supplier selection, and order placement. Integrated databases, ERP systems, email connectors, forecasting APIs, and optimization tools using watsonx Orchestrate to enable intelligent procurement and planning automation.• Agentic AI & IVR for Recruitment: Developed an Agentic AI–driven IVR Interview Agent to automate Level-1 candidate screening. Enabled automated calls using Twilio, capturing and transcribing responses stored in databases. Used watsonx.ai to score responses and generate structured assessments, with watsonx Orchestrate enabling end-to-end hiring workflow automation.• RAG & Entity Extraction in Healthcare Insurance: Built an entity extraction pipeline for medical reports, discharge summaries, and hospital bills to detect anomalies and verify insurance claims. Integrated a RAG pipeline to retrieve contextual information from submitted claim documents.• Tender Evaluation for PSUs: Developed a document intelligence pipeline for digital and scanned bidder documents using OCR-based text extraction, classification, and extraction of technical specifications, with similarity validation and cost threshold checks for tender evaluation.• Workflow Automation in HR: Designed an Agentic AI leave management workflow using watsonx Orchestrate with query entity extraction, API-based leave balance validation, Auto-RAG for HR policy retrieval, and MS Outlook integration for automated emails and calendar updates.• Sentiment Analysis for Armed Forces: Built a social media analytics pipeline by scraping Twitter data and applying NLP-based entity extraction for sentiment, districts, and risk indicators. Developed Cognos dashboards for sentiment trends, risk analysis, and automated alerts.
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